code: def test_line_search_wolfe2(self):
      c = 0
      smax = 512
      for name, f, fprime, x, p, old_f in self.line_iter():
          f0 = f(x)
          g0 = fprime(x)
          self.fcount = 0
          with suppress_warnings() as sup:
              sup.filter(
                  LineSearchWarning,
                  "The line search algorithm could not find a solution",
              )
              sup.filter(
                  LineSearchWarning,
                  "The line search algorithm did not converge",
              )
              s, fc, gc, fv, ofv, gv = ls.line_search_wolfe2(
                  f, fprime, x, p, g0, f0, old_f, amax=smax
              )
          assert_equal(self.fcount, fc + gc)
          assert_fp_equal(ofv, f(x))
          assert_fp_equal(fv, f(x + s * p))
          if gv is not None:
              assert_array_almost_equal(
                  gv, fprime(x + s * p), decimal=14
              )
          if s < smax:
              c += 1
              assert_line_wolfe(x, p, s, f, fprime, err_msg=name)
      assert_(c > 3)
  
imports: from __future__ import division, print_function, absolute_import
  from numpy.testing import assert_, assert_equal, assert_array_almost_equal, assert_array_almost_equal_nulp, assert_warns
  from scipy._lib._numpy_compat import suppress_warnings
  import scipy.optimize.linesearch
  from scipy.optimize.linesearch import LineSearchWarning
  import numpy
label_desc: Use image node_id 13 for calling the TestLineSearch obj's underlying member method code with example usage: obj.test_line_search_wolfe2() without return types